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Multiple Instance Learning on Pathology Slides

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We investigate

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Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays

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This talk is a recording of the talk given by Jonas Ammeling on BVM 2023 (https://bvm-workshop.org). If you want to stay up to date ...

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A short overview video of how

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MICCAI 2020 - Attention based Multiple Instance Learning for Classification of Blood Cell Disorders

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Workshop 2: Multiple Instance Learning - Part 1 - Morning Session

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In this workshop, we will study the concept of

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SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology

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To this end, we investigate the integration of supervised contrastive learning with

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[P189] Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

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Attention Mechanism In a nutshell

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Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning (CVPR 2023)

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The presentation for the CVPR 2023 paper "

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Dual-stream Multiple Instance Learning Network

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[ICCV 2025] C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning

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